马来西亚学习领域人工智能的羞怯计算模型综述

S. Shamini
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摘要

害羞是我们国家许多孩子都经历过的困难。虽然亚洲人表现出更多的羞怯(例如胆怯、被动、不对抗)是一种常态;在学习领域进行的研究证实,这种人格特质被认为是一种消极的特质,尤其是在年轻的学习者(儿童)中,这可能会影响他们在学术平台上的潜力和表现。老师和同学可能会错误地认为这些学生能力较差,智力较差,从而对他们产生不良看法。然而,这些害羞的学生发现电脑媒介的交流比与老师面对面的交流更容易。根据马来西亚教育部(MOE)的马来西亚教育蓝图(2015-2025),非常鼓励开发和使用信息和通信技术(ICT)(例如电子学习,教育游戏和其他通过计算机界面的互动学习平台)。因此,实现一个交互式的人工导师(与害羞模型相匹配),自动适应用户的情绪状态并与之互动,有助于克服害羞,同时鼓励这些害羞的学习者自信地交流和展示他们的能力。本研究旨在回顾羞怯计算模型的有用性的背景研究,该模型将与交互式合成导师相结合。本研究的目的是通过面部特征(如微笑、噘嘴)和声音行为(沉默、频繁停顿、填充词和轮流模式)来识别和捕捉害羞的颜色(如胆怯、被动、非对抗)的显示特征。这些羞怯的年轻马来西亚学习者(9-11岁之间的儿童)。这些标记将被收集并构建成一个害羞模型,适用于在典型的马来西亚学术环境中用于教学和培训年轻学习者的学习领域的交互式合成代理。
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A REVIEW ON A COMPUTATIONAL MODEL OF SHYNESS FOR ARTIFICIAL AGENTS IN THE MALAYSIAN LEARNING DOMAIN
Shyness is a difficulty experienced by many children in our country. Although it is a norm that Asians exhibit more colourings of shyness (e.g. timidity, passiveness, non-confrontational); studies conducted within the learning domain verifies that this personality trait is being acknowledged as a negative trait, especially among young learners (children) which is likely to affect their potential and performance in the academic platform. Teachers and peers may falsely belief that these students are less capable and less intelligent which may develop a poor perception towards them. However, these shy students find computer-mediated communication to be easier means of interaction than face-to-face contact with teachers. In-line with the Malaysian Education Blueprint (2015-2025) by the Malaysian Ministry of Education (MOE), development and use of Information and Communications Technology (ICT) (e.g. e-learning, educational games and other interactive learning platforms through computer interfaces) are very much encouraged. Hence, implementing an interactive artificial tutor (fit with a shyness model) to automatically adapt and interact to the user’s emotional state could help in overcoming shyness, at the same time encourage these shy learners to confidently communicate and exhibit their capabilities. This research intends to review the background study on the usefulness of a shyness computational model which will be integrated with an interactive synthetic tutor. The aim of this study is to identify and capture the display features of colourings of shyness (e.g. timidity, passiveness, non-confrontational) through facial features (e.g. smiles, pouting) and vocal behaviours (silences, frequent pauses,filler words and turn-taking patterns) projected by shy young Malaysian learners (children aged between 9-11 years). These markers will be collected and constructed into a shyness model suitable for interactive synthetic agents used in the learning domain for teaching and training young learners in a typical Malaysian academic setting.
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